Instructions to use prithivMLmods/ImageShield-SUPER-90M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/ImageShield-SUPER-90M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/ImageShield-SUPER-90M") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/ImageShield-SUPER-90M") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/ImageShield-SUPER-90M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -3,6 +3,14 @@ license: apache-2.0
|
|
| 3 |
base_model:
|
| 4 |
- google/siglip2-base-patch16-224
|
| 5 |
library_name: transformers
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
---
|
| 7 |
|
| 8 |

|
|
|
|
| 3 |
base_model:
|
| 4 |
- google/siglip2-base-patch16-224
|
| 5 |
library_name: transformers
|
| 6 |
+
tags:
|
| 7 |
+
- SigLIP2
|
| 8 |
+
- ImageShield
|
| 9 |
+
- 90M
|
| 10 |
+
- Guardrail
|
| 11 |
+
language:
|
| 12 |
+
- en
|
| 13 |
+
pipeline_tag: image-classification
|
| 14 |
---
|
| 15 |
|
| 16 |

|